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Title:
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GAPBNF_RULE: A GENETIC MINER RULE |
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Author(s):
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Rasha Shakir Abdul-wahhab |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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GAPBNF_Rule, Evolutionary Algorithms, Classification task |
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Type:
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Short Paper |
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First Page:
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107 |
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Last Page:
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112 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule.
GAPBNF_Rule is a powerful evolutionary method that distinguishes between the genotype and phenotype. The genotype
is a list of integers which represent productions in a defined syntax while phenotype is an SQL query. The performance
of the GAPBNF_Rule is measured with a set of data and compared with the performance of two existing systems: ESIA
and Clustering GP. Preliminary results support that GAPBNF_Rule is an effective system and is competitive with ESIA
and Clustering GP. |
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